of FlashAttention-2 (Dao, 2023). We conduct all experiments on a cluster equipped with NVIDIA H800 GPUs. Each node in the H800 cluster contains 8 GPUs connected using NVLink and NVSwitch within nodes. attain a relatively high Model FLOPs Utilization (MFU). During our practical training on the H800 cluster, for training on each trillion tokens, DeepSeek 67B requires 300.6K GPU hours, while DeepSeek-V2

Momentum Performance, 16-bit FLOP/s +150% / Year Enabled by 1.6x annual growth in chips per cluster and 1.6x annual growth in performance per chip Performance of Leading AI Supercomputers (FLOP/s) delivers advanced AI chip ‘cluster’ to Chinese clients cut off from Nvidia’ (4/29/25) Huawei has started the delivery of its advanced artificial intelligence chip ‘cluster’ to Chinese clients who are

Provide the best-in-class Deep Learning performance by leveraging Neural Network acceleration in IP and SoCs from the Arm ecosystem, through collaborative seamless integration with the ecosystem of

Image Queue Instruction Buffer Cross Bar Pooling/ EWA© Copyright 2018 Xilinx Xilinx Edge DPU IP (DPUv2) Source: Published results from Huawei 18% 13% 14% 40% 24% 23% 85% 51% 52% 0% 20%